Results 191 to 200 of about 35,546 (271)

The efficiency and productivity-changing trend of PHCIs since the 2009 health reform in China based on a three-stage DEA and Malmquist Productivity Index. [PDF]

J Glob Health
Liu L, Peng J, Kane S, Wu C, Liu Y, Huang J.   +5 more
europepmc   +1 more source

Evaluation and heterogeneity of the green total factor productivity of Shandong Province, China: a super-SBM and GML analysis. [PDF]

Sci Rep
Ma M, Yang Y, Ma Y, Wang Z.
europepmc   +1 more source

Decarbonization process and productivity convergence: a global analysis of carbon total factor productivity. [PDF]

Carbon Balance Manag
Liu J, Zhang J, Cui D.
europepmc   +1 more source

Estimating Malmquist-type indices with StoNED

Expert Systems with Applications
Yu Zhao, Hiroshi Morita
openaire   +1 more source

Temporal-spatial evolution analysis of carbon emission efficiency in the logistics industry of coastal provinces in China based on the super-efficiency SBM model. [PDF]

Carbon Balance Manag
Wang B, Liu M, Gao S.
europepmc   +1 more source

Correction. [PDF]

Int J Transgend Health
europepmc   +1 more source

Research on eco-efficiency of provinces along the Belt and Road in China based on DEA methods and AI prediction algorithms. [PDF]

Sci Rep
Liu P, Zhao F, Deng G, Dong D, Li X.
europepmc   +1 more source

Global Malmquist and cost Malmquist indexes for group comparison

Journal of Productivity Analysis, 2022
The Malmquist index (MI) has demonstrated its usefulness in comparing the performances of Decision Making Units (DMUs) performances. The global MI (GMI) has been suggested as a means to overcome three drawbacks of the MI: non-circularity, disparate measurements, and infeasibility. Recently, it has appeared that the MI can also be used to compare groups
Barnabé Walheer
semanticscholar   +2 more sources

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Research on sustainable development and efficiency of China's E-Agriculture based on a data envelopment analysis-Malmquist model

Technological Forecasting and Social Change, 2021
Jiajia Yang
exaly   +2 more sources

Combining the biennial Malmquist–Luenberger index and panel quantile regression to analyze the green total factor productivity of the industrial sector in China

Science of the Total Environment, 2020
Keliang Wang, Su-Qin Pang, Lili Ding, Zhuang Miao   +3 more
exaly   +2 more sources